Literature DB >> 26438696

A patient-derived stem cell model of hereditary spastic paraplegia with SPAST mutations.

Greger Abrahamsen, Yongjun Fan, Nicholas Matigian, Gautam Wali, Bernadette Bellette, Ratneswary Sutharsan, Jyothy Raju, Stephen A Wood, David Veivers, Carolyn M Sue, Alan Mackay-Sim.   

Abstract

Entities:  

Year:  2015        PMID: 26438696      PMCID: PMC4610243          DOI: 10.1242/dmm.023002

Source DB:  PubMed          Journal:  Dis Model Mech        ISSN: 1754-8403            Impact factor:   5.758


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There was an error published in Dis. Model. Mech. 6, 489-502. Due to a technical error with the image analysis software, the published speed unit of peroxisome movement is incorrect. The stated peroxisome speed unit (µm/second) should be changed to µm/2 seconds in two different places in the paper: (1) twice in the Results section ‘Dynamics of peroxisome movement’, and (2) the x-axis of Fig. 5 (the legend remains the same). The correct text and figure is shown below. This change does not alter any conclusions of the paper, which was a comparison of cells from patients and controls. (1) The mean peroxisome speed in patient cells was 93% slower than in control cells (control, 0.172±0.001 μm/2 seconds; patient, 0.160±0.001 μm/2 seconds; t=9.19, d.f.= 24,398, P<0.0001). (2) Fig. 5. Peroxisome speeds were slower in patient and control cells. Frequency distributions of peroxisomes in different speed classes are shown for control cells (open bars; n=7 individuals, 10 cells per individual) and patient cells (filled bars; n=6 individuals, 10 cells per individual). Peroxisome speeds were quantified every 2 seconds for 2 minutes and grouped in speed classes expressed as the percentage of peroxisomes in each speed class as a percentage of the total number of peroxisomes for each group (control cells, n=13,871 peroxisomes; patient cells, 10,529 peroxisomes). The authors apologise to the readers for any confusion that this error might have caused.
  1 in total

1.  Hereditary spastic paraplegia: gain-of-function mechanisms revealed by new transgenic mouse.

Authors:  Liang Qiang; Emanuela Piermarini; Hemalatha Muralidharan; Wenqian Yu; Lanfranco Leo; Laura E Hennessy; Silvia Fernandes; Theresa Connors; Philip L Yates; Michelle Swift; Lyandysha V Zholudeva; Michael A Lane; Gerardo Morfini; Guillermo M Alexander; Terry D Heiman-Patterson; Peter W Baas
Journal:  Hum Mol Genet       Date:  2019-04-01       Impact factor: 6.150

  1 in total

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